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» Contextual Restoration of Severely Degraded Document Images
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ICDAR
2009
IEEE
14 years 2 months ago
A Dual Taxonomy for Defects in Digitized Historical Photos
Old photos may be affected by several types of defects. Manual restorers use their own taxonomy to classify damages by which a photo is affected, in order to apply the proper rest...
Edoardo Ardizzone, A. De Polo, Haris Dindo, Giusep...
ICDAR
2009
IEEE
13 years 5 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
ICDAR
2011
IEEE
12 years 7 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
ICDAR
2007
IEEE
14 years 1 months ago
Segmentation Based Recovery of Arbitrarily Warped Document Images
Non-linear warping appears in document images when captured by a digital camera or a scanner, especially in the case that these documents are digitized bounded volumes. Arbitraril...
Basilios Gatos, Ioannis Pratikakis, Konstantinos N...
DAS
2008
Springer
13 years 9 months ago
Accurate Alignment of Double-Sided Manuscripts for Bleed-Through Removal
Double-sided manuscripts are often degraded by bleedthrough interference. Such degradation must be corrected to facilitate human perception and machine recognition. Most approache...
Jie Wang, Michael S. Brown, Chew Lim Tan